DocumentCode
3336740
Title
An Adaptive Controller Based on Genetic Algorithm to Mitigate the Oscillations in Power System
Author
Poudeh, Mohammad Bayati
Author_Institution
Electr. Eng. Dept., Islamic Azad Univ., Tehran
fYear
2008
fDate
9-11 April 2008
Firstpage
502
Lastpage
507
Abstract
The Sub-Synchronous Oscillation (SSO) phenomenon in the power system with compensated transmission line, is maybe occurred. The SSO phenomenon of turbine-generator electromechanical interaction with series capacitor has historically been a terrible problem in power systems. In this paper, an adaptive control method, was used to damp these oscillations. In this control method, the performance of the exciter was improved. By using genetic algorithm and a PID controller, the output voltage of the exciter was controlled adaptively. This new control method is a Model Reference Adaptive Control method (MRAC) based on the combination of PID control and the Genetic Algorithm (GA). Genetic algorithm is employed to find the best values for PID controller´s parameters in a very short time. With this hybrid controller, mitigation of the sub-synchronous oscillations is done better. The results of simulation confirm the effect of this control method.
Keywords
adaptive control; damping; electromechanical effects; genetic algorithms; oscillations; power system control; three-term control; turbogenerators; PID controller; adaptive controller; damping; genetic algorithm; hybrid controller; power system; series capacitor; transmission line; turbine-generator electromechanical interaction; Adaptive control; Capacitors; Control systems; Genetic algorithms; Power system modeling; Power systems; Power transmission lines; Programmable control; Three-term control; Voltage control; Adaptive Control; Genetic algorithm; Sub synchronous Oscillation;
fLanguage
English
Publisher
ieee
Conference_Titel
Smart Manufacturing Application, 2008. ICSMA 2008. International Conference on
Conference_Location
Gyeonggi-do
Print_ISBN
978-89-950038-8-6
Electronic_ISBN
978-89-962150-0-4
Type
conf
DOI
10.1109/ICSMA.2008.4505575
Filename
4505575
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